This blog dives deep into building robust asynchronous APIs in Python by combining functools.partial with custom decorators. You'll learn how to design a clean, reusable retry mechanism for async functions, handle edge cases like backoff and jitter.

Learn how to master variable scope in modular Python applications. This post explores best practices for managing scope in backend projects using FastAPI and SQLAlchemy.

Discover how Python’s __slots__ can significantly reduce memory usage and improve performance in backend systems. This guide walks you through the basics of slotted classes, explains how they work, and shows real-world backend examples.

Discover how Python's Global Interpreter Lock (GIL) impacts real-world backend performance. This post breaks down the difference between CPU-bound and I/O-bound tasks, benchmarks threading vs multiprocessing, and shows you when Python threads help.

Discover how to implement the Singleton design pattern in asynchronous Python using async/await. This in-depth guide covers practical patterns, real-world backend use cases.